Michał Kosiński

16.9k total citations · 10 hit papers
81 papers, 9.4k citations indexed

About

Michał Kosiński is a scholar working on Sociology and Political Science, Clinical Psychology and Social Psychology. According to data from OpenAlex, Michał Kosiński has authored 81 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Sociology and Political Science, 30 papers in Clinical Psychology and 23 papers in Social Psychology. Recurrent topics in Michał Kosiński's work include Personality Traits and Psychology (26 papers), Mental Health via Writing (12 papers) and Impact of Technology on Adolescents (12 papers). Michał Kosiński is often cited by papers focused on Personality Traits and Psychology (26 papers), Mental Health via Writing (12 papers) and Impact of Technology on Adolescents (12 papers). Michał Kosiński collaborates with scholars based in United Kingdom, United States and Australia. Michał Kosiński's co-authors include David Stillwell, Thore Graepel, Sandra Matz, Margaret L. Kern, Lyle Ungar, H. Andrew Schwartz, Johannes C. Eichstaedt, Wu Youyou, Martin E. P. Seligman and Samuel D. Gosling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.

In The Last Decade

Michał Kosiński

78 papers receiving 8.8k citations

Hit Papers

Private traits and attributes are predictable from digita... 2013 2026 2017 2021 2013 2013 2015 2015 2017 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michał Kosiński United Kingdom 40 3.2k 2.2k 2.1k 2.0k 1.5k 81 9.4k
David Stillwell United Kingdom 35 3.0k 0.9× 1.9k 0.9× 2.0k 1.0× 1.8k 0.9× 1.2k 0.8× 76 8.2k
Jeffrey T. Hancock United States 63 6.9k 2.1× 3.2k 1.5× 3.5k 1.7× 1.7k 0.9× 1.4k 0.9× 220 13.8k
Munmun De Choudhury United States 52 2.7k 0.8× 2.5k 1.1× 3.6k 1.7× 1.2k 0.6× 1.3k 0.9× 206 8.7k
Margaret L. Kern Australia 48 2.5k 0.8× 1.4k 0.6× 4.9k 2.4× 3.6k 1.8× 2.1k 1.3× 120 11.7k
Johannes C. Eichstaedt United States 31 1.4k 0.5× 1.7k 0.8× 2.2k 1.1× 1.0k 0.5× 1.0k 0.7× 95 5.6k
H. Andrew Schwartz United States 34 1.4k 0.4× 1.6k 0.7× 2.0k 0.9× 930 0.5× 938 0.6× 97 5.3k
Nicole C. Krämer Germany 44 3.1k 1.0× 1.5k 0.7× 2.0k 1.0× 590 0.3× 517 0.3× 219 6.8k
Nick Yee United States 31 5.4k 1.7× 721 0.3× 2.1k 1.0× 1.0k 0.5× 865 0.6× 42 9.5k
Jesse Chandler United States 20 3.4k 1.1× 571 0.3× 1.9k 0.9× 1.8k 0.9× 1.3k 0.8× 37 9.1k
S. Shyam Sundar United States 59 7.6k 2.4× 2.9k 1.3× 2.2k 1.1× 385 0.2× 602 0.4× 248 13.0k

Countries citing papers authored by Michał Kosiński

Since Specialization
Citations

This map shows the geographic impact of Michał Kosiński's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michał Kosiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Kosiński more than expected).

Fields of papers citing papers by Michał Kosiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Kosiński. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michał Kosiński. The network helps show where Michał Kosiński may publish in the future.

Co-authorship network of co-authors of Michał Kosiński

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Kosiński. A scholar is included among the top collaborators of Michał Kosiński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Kosiński. Michał Kosiński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hagendorff, Thilo, Sarah Fabi, & Michał Kosiński. (2023). Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT. Nature Computational Science. 3(10). 833–838. 95 indexed citations breakdown →
3.
Giorgi, Salvatore, Khoa D. Le Nguyen, Johannes C. Eichstaedt, et al.. (2021). Regional personality assessment through social media language. Journal of Personality. 90(3). 405–425. 18 indexed citations
4.
Kosiński, Michał. (2021). Facial recognition technology can expose political orientation from naturalistic facial images. Scientific Reports. 11(1). 100–100. 65 indexed citations
5.
Matz, Sandra & Michał Kosiński. (2019). Using Consumers’ Digital Footprints for More Persuasive Mass Communication. 11(2). 18–23. 3 indexed citations
6.
7.
Youyou, Wu, David Stillwell, H. Andrew Schwartz, & Michał Kosiński. (2017). Birds of a Feather Do Flock Together. Psychological Science. 28(3). 276–284. 80 indexed citations
8.
Kosiński, Michał. (2017). Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies. Psychological Science. 28(11). 1675–1682. 55 indexed citations
9.
Matz, Sandra, Michał Kosiński, David Stillwell, & Gideon Nave. (2017). Psychological Framing As an Effective Approach to Real-Life Persuasive Communication. ACR North American Advances. 4 indexed citations
10.
Kosiński, Michał, Yilun Wang, Himabindu Lakkaraju, & Jure Leskovec. (2016). Mining big data to extract patterns and predict real-life outcomes.. Psychological Methods. 21(4). 493–506. 121 indexed citations
11.
Gillan, Claire M., Michał Kosiński, Robert Whelan, Elizabeth A. Phelps, & Nathaniel D. Daw. (2016). Characterizing a psychiatric symptom dimension related to deficits in goal-directed control. eLife. 5. 347 indexed citations breakdown →
12.
Park, Gregory, David B. Yaden, H. Andrew Schwartz, et al.. (2016). Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook. PLoS ONE. 11(5). e0155885–e0155885. 89 indexed citations
13.
Granica, Sebastian, Michał Kosiński, Jakub P. Piwowarski, et al.. (2016). Effects of Geum urbanum L. root extracts and its constituents on polymorphonuclear leucocytes functions. Significance in periodontal diseases. Journal of Ethnopharmacology. 188. 1–12. 27 indexed citations
14.
Schwartz, H. Andrew, Maarten Sap, Margaret L. Kern, et al.. (2015). PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA. PubMed. 21. 516–527. 95 indexed citations
15.
Bachrach, Yoram, Thore Graepel, Pushmeet Kohli, Michał Kosiński, & David Stillwell. (2014). Your digital image: factors behind demographic and psychometric predictions from social network profiles. Adaptive Agents and Multi-Agents Systems. 1649–1650. 17 indexed citations
16.
Park, Gregory, H. Andrew Schwartz, Johannes C. Eichstaedt, et al.. (2014). Automatic personality assessment through social media language.. Journal of Personality and Social Psychology. 108(6). 934–952. 466 indexed citations breakdown →
17.
Kosiński, Michał, David Stillwell, & Thore Graepel. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences. 110(15). 5802–5805. 1548 indexed citations breakdown →
18.
Kern, Margaret L., Johannes C. Eichstaedt, H. Andrew Schwartz, et al.. (2013). From “Sooo excited!!!” to “So proud”: Using language to study development.. Developmental Psychology. 50(1). 178–188. 48 indexed citations
19.
Rentfrow, Peter J., Samuel D. Gosling, Markus Jokela, et al.. (2013). Divided we stand: Three psychological regions of the United States and their political, economic, social, and health correlates.. Journal of Personality and Social Psychology. 105(6). 996–1012. 194 indexed citations
20.
Shokouhi, Milad, et al.. (2013). Inferring the Demographics of Search Users. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026